Top 37 Statistical programmer Jobs in Edison, Nj

Research Programmer
Rutgers University —Piscataway, NJ
- $120,000 - $130,000 a year
- Full-time
- Azure
- Computer Science
- AWS
- Paid holidays
- Dental insurance
Associate Director Statistical Programming
Regeneron —Warren, NJ
- $176,100 - $287,300 a year
- Hybrid work
- Computer Science
- Mentoring
- Senior level
- Health insurance
- Dental insurance
2d
Principal Biostatistician (Remote)
Everest Clinical Research —Bridgewater, NJ
- $150,000 - $200,000 a year
- Remote
- 7 years
- Master's degree
- Continuous improvement
- AD&D insurance
- Disability insurance
Quick Apply
Associate Director, Biostatistics
Genmab —Princeton, NJ
- $156,880 - $235,320 a year
- Online Application
- Master's degree
- Databases
- Doctor of Philosophy
- Commuter assistance
- Paid parental leave
Sr. Manager, Biostatistician / Programmer
Legend Biotech US —Somerset, NJ
- Full-time
- Master's degree
- Analysis skills
- Continuous improvement
Quick Apply
Sr. Scientist, Stat. Programming - Late-Stage (Non-Oncology) (Hybrid)
Merck —Rahway, NJ
- $117,000 - $184,200 a year
- Full-time
- Computer Science
- Bachelor of Science
- 3 years
- Paid holidays
- Health insurance
10d
Senior Statistician
Katalyst Healthcares & Life Sciences —Edison, NJ
- Contract
- 6 years
- Doctor of Philosophy
- Organizational skills
Quick Apply
Assoc Director, Biostatistics
Gilead Sciences —Parsippany-Troy Hills, NJ
- $195,670 - $253,220 a year
- Full-time
- 6 years
- Bachelor of Science
- Bachelor's degree
- Health insurance
- Dental insurance
Principal Scientist, Stat. Programming- Early Oncology Development (Hybrid)
Merck —Rahway, NJ
- $173,200 - $272,600 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance
12d
Director, Biostatistics
Altimmune —Morristown, NJ
- Full-time
- Hybrid work
- 7 years
- Analysis skills
- Continuous improvement
Quick Apply
Director, Biostatistics
Gilead Sciences —Parsippany-Troy Hills, NJ
- $205,615 - $292,710 a year
- Full-time
- Master's degree
- 8 years
- Analysis skills
- Health insurance
- Dental insurance

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Student Assistant (NJ Safe Schools)
Rutgers University —Piscataway, NJ
Do you have prior data analysis experience (in design and primary and/or secondary research data collection-to-management and analysis, preferred?
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Temporary Research Assistant (RUBIES)
Rutgers University —Piscataway, NJ
The Rutgers University Biostatistics & Epidemiology Services (RUBIES) center within the School of Public Health located in Piscataway, NJ is seeking Temporary…
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IGM Bioinformatics Scientist II
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Research Programmer

Rutgers University -
Piscataway, NJ

Apply Now

Job Details

Full-time
$120,000 - $130,000 a year

Benefits

Paid holidays
Dental insurance
Employee discount
Life insurance
Retirement plan

Qualifications

AI models
GPU programming
Statistics
Computational research
GPU architecture
Statistical analysis for research
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Doctor of Philosophy
Working with students
Developing large-scale AI models
Probability theory
Model training
Neural networks
Machine learning frameworks
Software training

Full Job Description

Position Details

Position Information

Recruitment/Posting Title

Research Programmer

Department

Quantitative Biomedicine Inst

Salary Details

$120,000 - $130,000

Offer Information

The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits

Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

Medical, prescription drug, and dental coverage
Paid vacation, holidays, and various leave programs
Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
Employee and dependent educational benefits (when applicable)
Life insurance coverage
Employee discount programs

Posting Summary

The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking one or more Research Programmers to support leveraging modern Machine Learning (ML) and Deep Learning (DL) techniques by Rutgers faculty, postdoctoral fellows, and students. The ideal candidate will have a strong ML/DL and cyberinfrastructure (CI) background and a willingness to contribute to interdisciplinary research across diverse basic and applied science and engineering domains.

Responsibilities will include:

Design, develop, and deploy ML/DL algorithms for domain science and engineering fields
Support RAD Collaboratory research on national cyberinfrastructure (e.g., ACCESS, NAIRR, and DOE supercomputers) or cloud environments (e.g., AWS, GCP, and Azure)
Support application of ML/DL/CI techniques across topics and domains
Deliver training on ML/DL/CI techniques and best practices to a broad range of researchers
Stay at the forefront of new ML/DL techniques and ML/DL systems that support science and engineering research
Co-author peer-reviewed interdisciplinary research publications
Contribute to funding applications from external sources (e.g., NSF, NIH)

Position Status

Full Time

Posting Number

25FA0745

Posting Open Date

08/01/2025

Posting Close Date

Qualifications

Minimum Education and Experience

Ph.D. in computer science, engineering, or other related research fields with a strong background in applied ML/DL in interdisciplinary research.

Experience working with ML/DL platforms and algorithms.

Track record of working with domain experts, researchers, and stakeholders to support diverse science and engineering applications.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

Experience with DL frameworks such as PyTorch, DeepSpeed, Accelerate, or Megatron-LM

Experience with large language model (LLM) techniques such as supervised fine-tuning, retrieval augmented generation, and in-context learning
Advanced Statistical Analysis: Proficiency in advanced statistical techniques and probability theory
GPU Programming: Experience with GPU programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL

Experience with applied computer vision, such as convolutional neural networks and vision transformers is preferred

Experience in deploying open-source and open-data DL projects at scale and job management with SLURM or PBS is preferred

Knowledge of software engineering and MLOps (e.g., CI/CD workflow) is preferred

Familiarity with scientific or ML workflows is preferred

Training or tutorial experience for domain scientists

Ability to learn and adapt to new technologies

Excellent writing and verbal communication skills

Preferred Qualifications

Equipment Utilized

Physical Demands and Work Environment

Individual will work onsite at RCSB PDB located at Rutgers Busch Science Campus (Piscataway, NJ)

Overview

The RAD Collaboratory was recently launched by the Office of the Rutgers New Brunswick Chancellor as a Chancellor-reporting Signature Initiative (CSI) that aligns with Rutgers–New Brunswick Academic Master Plan. This initiative serves as a hub for data science, artificial intelligence, student programming, and community engagement.

Statement

Posting Details

Special Instructions to Applicants

Quick Link to Posting

https://jobs.rutgers.edu/postings/257382

Campus

Rutgers University-New Brunswick

Home Location Campus

Busch (RU-New Brunswick)

City

Piscataway

State

Location Details

Pre-employment Screenings

All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.

Equal Employment Opportunity Statement

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

Posting Specific Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

Cover Letter/Letter of Application

Resume/CV

Curriculum Vitae

List of Professional References (contact Info)

Optional Documents

Apply Now

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statistical programmer jobs in edison, nj

Research Programmer

Associate Director Statistical Programming

Principal Biostatistician (Remote)

Associate Director, Biostatistics

Sr. Manager, Biostatistician / Programmer

Sr. Scientist, Stat. Programming - Late-Stage (Non-Oncology) (Hybrid)

Senior Statistician

Assoc Director, Biostatistics

Principal Scientist, Stat. Programming- Early Oncology Development (Hybrid)

Director, Biostatistics

Director, Biostatistics

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